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https://github.com/siomvas/awesome-federated-reinforcement-learning

Publication catalog for research on Federated RL (FRL).
https://github.com/siomvas/awesome-federated-reinforcement-learning

List: awesome-federated-reinforcement-learning

federated-learning federated-reinforcement-learning reinforcement-learning

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Publication catalog for research on Federated RL (FRL).

Awesome Lists containing this project

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# Federated Reinforcement Learning [![Awesome](https://awesome.re/badge-flat.svg)](https://awesome.re)



A publication catalog for research on Federated Reinforcement Learning (FRL).



## Overviews



Chapter 9 of [Federated Learning](https://books.google.gr/books?id=JdPGDwAAQBAJ&redir_esc=y) 12/19



[Federated Reinforcement Learning: Techniques, Applications, and Open Challenges](https://arxiv.org/abs/2108.11887) 08/21



## Misc



[Federated Deep Reinforcement Learning](https://arxiv.org/abs/1901.08277) 01/19



[Federated Reinforcement Learning for Fast Personalization](https://ieeexplore.ieee.org/document/8791693) 09/19



[Proxy Experience Replay: Federated Distillation for Distributed Reinforcement Learning](https://arxiv.org/abs/2005.06105) 05/20



[AFRL: Adaptive federated reinforcement learning for intelligent jamming defense in FANET](https://ieeexplore.ieee.org/document/9143577) 07/20



[The Gradient Convergence Bound of Federated Multi-Agent Reinforcement Learning with Efficient Communication](https://arxiv.org/abs/2103.13026) 03/21



[Reward Shaping Based Federated Reinforcement Learning](https://ieeexplore.ieee.org/document/9408573) 04/21



## Robotics



[Lifelong Federated Reinforcement Learning: A Learning Architecture for Navigation in Cloud Robotic Systems](https://arxiv.org/abs/1901.06455) 05/19



[Federated Reinforcement Learning Acceleration Method for Precise Control of Multiple Devices](https://ieeexplore.ieee.org/document/9439484) 05/21



## Autonomous navigation / V2V



[Federated Transfer Reinforcement Learning for Autonomous Driving](https://arxiv.org/abs/1910.06001) 10/19



[Deep-Reinforcement-Learning-Based Mode Selection and Resource Allocation for Cellular V2X Communications](https://ieeexplore.ieee.org/document/8944302) 12/19



[Vehicular Cooperative Perception Through Action Branching and Federated Reinforcement Learning](https://arxiv.org/abs/2012.03414) 12/20



[Multi-Task Federated Reinforcement Learning with Adversaries](https://arxiv.org/abs/2103.06473) 03/21



[Towards Cooperative Caching for Vehicular Networks with Multi-level Federated Reinforcement Learning](https://ieeexplore.ieee.org/document/9500714) 06/21



## Networks / IoT



[Federated learning-based computation offloading optimization in edge computing-supported internet of things](https://ieeexplore.ieee.org/abstract/document/8728285) 06/19 



[Federated Deep Reinforcement Learning for Internet of Things With Decentralized Cooperative Edge Caching](https://ieeexplore.ieee.org/document/9062302) 04/20



[Multiagent DDPG-Based Deep Learning for Smart Ocean Federated Learning IoT Networks](https://ieeexplore.ieee.org/document/9067847) 04/20



[When Deep Reinforcement Learning Meets Federated Learning: Intelligent Multitimescale Resource Management for Multiaccess Edge Computing in 5G Ultradense Network](https://ieeexplore.ieee.org/document/9205252) 09/20



[Device Association for RAN Slicing Based on Hybrid Federated Deep Reinforcement Learning](https://ieeexplore.ieee.org/document/9237167) 10/20



[Federated Reinforcement Learning for Energy Management of Multiple Smart Homes with Distributed Energy Resources](https://ieeexplore.ieee.org/document/9247266) 11/20



[Federated Multi-Agent Actor-Critic Learning for Age Sensitive Mobile Edge Computing](https://arxiv.org/abs/2012.14137) 12/20



[Attention-Weighted Federated Deep Reinforcement Learning for Device-to-Device Assisted Heterogeneous Collaborative Edge Caching](https://ieeexplore.ieee.org/document/9252973) 01/21



[Enhancing WiFi Multiple Access Performance with Federated Deep Reinforcement Learning](https://arxiv.org/abs/2102.07019) 02/21



[Federated Double Deep Q-learning for Joint Delay and Energy Minimization in IoT networks](https://arxiv.org/abs/2104.11320) 04/21



[Towards Accurate Anomaly Detection in Industrial Internet-of-Things using Hierarchical Federated Learning](https://ieeexplore.ieee.org/document/9409113) 04/21



[Multi-Agent Federated Reinforcement Learning for Secure Incentive Mechanism in Intelligent Cyber-Physical Systems](https://ieeexplore.ieee.org/document/9434397) 05/21



[Cooperative Edge Caching via Federated Deep Reinforcement Learning in Fog-RANs](https://ieeexplore.ieee.org/document/9473609) 06/21



[HFDRL: An Intelligent Dynamic Cooperate Cashing Method Based on Hierarchical Federated Deep Reinforcement Learning in Edge-Enabled IoT](https://ieeexplore.ieee.org/abstract/document/9447004) 06/21



[An Edge Federated MARL Approach for Timeliness Maintenance in MEC Collaboration](https://ieeexplore.ieee.org/document/9473729) 06/21



[Resource Allocation in IoT Edge Computing via Concurrent Federated Reinforcement Learning](https://ieeexplore.ieee.org/document/9454444) 06/21



[Scalable Orchestration of Service Function Chains in NFV-Enabled Networks: A Federated Reinforcement Learning Approach](https://ieeexplore.ieee.org/document/9468364) 06/21



[Federated Deep Reinforcement Learning for User Access Control in Open Radio Access Networks](https://ieeexplore.ieee.org/document/9500603) 06/21



[A Federated Reinforcement Learning Framework for Incumbent Technologies in Beyond 5G Networks](https://ieeexplore.ieee.org/abstract/document/9520344) 08/21



[Access Control for RAN Slicing based on Federated Deep Reinforcement Learning](https://ieeexplore.ieee.org/document/9500611) 08/21



[Federated Deep Reinforcement Learning for Traffic Monitoring in SDN-Based IoT Networks](https://ieeexplore.ieee.org/document/9508440) 08/21